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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">109</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">JUCS - Journal of Universal Computer Science</journal-title>
        <abbrev-journal-title xml:lang="en">jucs</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0948-695X</issn>
      <issn pub-type="epub">0948-6968</issn>
      <publisher>
        <publisher-name>Journal of Universal Computer Science</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3217/jucs-004-06-0589</article-id>
      <article-id pub-id-type="publisher-id">27501</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Enclosure Methods for Multivariate Differentiable Functions and Application to Global Optimization</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Messine</surname>
            <given-names>Frédéric</given-names>
          </name>
          <email xlink:type="simple">messine@univ-pau.fr</email>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Lagouanelle</surname>
            <given-names>Jean-Louis</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Lab. LIA, Departement d'Informatique de l'Université de Pau, , France</addr-line>
        <institution>Lab. LIA, Departement d'Informatique de l'Université de Pau</institution>
        <country>France</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Lab. LIMA, Institut de Recherche en Informatique de Toulouse, Toulouse, France</addr-line>
        <institution>Lab. LIMA, Institut de Recherche en Informatique de Toulouse</institution>
        <addr-line content-type="city">Toulouse</addr-line>
        <country>France</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Frédéric Messine (<email xlink:type="simple">messine@univ-pau.fr</email>).</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: </p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>1998</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>06</month>
        <year>1998</year>
      </pub-date>
      <volume>4</volume>
      <issue>6</issue>
      <fpage>589</fpage>
      <lpage>603</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/E2AF1E4C-697E-52E8-AA68-7CE494F7911A">E2AF1E4C-697E-52E8-AA68-7CE494F7911A</uri>
      <uri content-type="zenodo_dep_id" xlink:href="https://zenodo.org/record/6995580">6995580</uri>
      <permissions>
        <copyright-statement>Frédéric Messine, Jean-Louis Lagouanelle</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="" xlink:type="simple">
          <license-p>This article is freely available under the J.UCS Open Content License.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p>The efficiency of global optimization methods in connection with interval arithmetic is no more to be demonstrated. They allow to determine the global optimum and the corresponding optimizers, with certainty and arbitrary accuracy. One of the main features of these algorithms is to deliver a function enclosure defined on a box (right parallelepiped). The studied method provides a lower bound (or upper bound) of a function in that box throughout two different strategies. As we shall see, these algorithms associated with various Branch and Bound methods lead to accelerated convergence and permit to avoid the cluster problem.</p>
      </abstract>
    </article-meta>
  </front>
</article>
